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The effectiveness of TDF versus ETV on incidence of HCC in CHB patients: a meta analysis

Abstract

Background

It has been proved that nucleos(t) ide analogues (NAs) therapy could improve underlying liver disease and reduce the incidence of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). However, the difference of effectiveness in reducing HCC occurrence between tenofovir (TDF) and enticavir (ETV), two first-line NAs drugs, is still little known. This meta analysis aims to assess the efficacy in reducing incidence of HCC comparing tenofovir monotherapy with entecavir monotherapy among chronic hepatitis B (CHB) patients by analyzing their long-term clinical outcomes.

Methods

Databases including PubMed, Embase, Cochrane Central Register of Controlled Trial, and ISI Web of Science were fully investigated according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. For the included articles, two of the authors independently extracted and confirmed relevant data. Review Manager software (RevMan 5.3) was using for meta analysis.

Results

Seven articles with 3698 patients were finally included in this research, 1574 in tenofovir group and 2124 in entecavir group. For meta analysis, the incidence of HCC was significantly lower among the tenofovir group than entecavir group [rate ratio (95% CI) of 0.66 (0.49, 0.89), P = 0.008], while there was no statistical significance in incidence of death or transplantation [rate ratio (95% CI) of 0.78 (0.55, 1.13), P = 0.19], encephalopathy [risk ratio (95% CI) of 0.72 (0.45, 1.13), P = 0.15] or variceal bleeding [risk ratio (95% CI) of 0.71 (0.34, 1.50), P = 0.37] between the two groups.

Conclusion

There is a better effect of tenofovir in reducing HCC incidence than entecavir, which indicates tenofovir should be used more widely while treating chronic hepatitis B patients. However before applying, randomized controlled trial and large prospective cohort study should be performed in the future.

Peer Review reports

Background

Chronic hepatic B virus (HBV) infection, affecting approximately 350 to 400 million people worldwide [1], is the most significant cause of liver disease that could lead to hepatocellular carcinoma (HCC) [2]. There are 15–40% of chronic HBV cases suffering from cirrhosis, while decompensate occurs one fifth of them within couple years with an essential need of transplantation [3]. HCC, a worse situation in CHB patients, is the fifth most common cancer and the third leading cause of cancer-related death in the world [4, 5]. In the established system, age, male gender, cirrhosis, positive hepatitis B e antigen (HBeAg) and high level of HBV-DNA are the risk factors for the development of HCC [4, 5]. To reduce the tremendous cost of social and economy and loss of life, effectively treating infection of HBV and preventing further HBV associated liver disease, especially HCC, are essential public health issues.

After recent decades of development in anti-HBV drugs, oral nucleos(t) ide analogues (NAs) have been recommended as the first-line therapy and widely used to inhibit HBV replication, improve underlying liver disease and reduce the incidence of HBV related HCC [6,7,8]. Among available NAs, entecavir (ETV) and tenofovir disoproxil fumarate (TDF) are both considered first-line regimens because of their high efficacy and low rates of resistance [8]. But the comparison between TDF and ETV remains controversial in decades. Recently, a meta analysis conducted by Zuo [9] showed that TDF was superior to ETV in suppressing HBV viral load and had a similar safety profile. However, it is still unclear about the efficacy of TDF and ETV on the HCC incidence. Since the last published systematic review in this area included only two study associated with TDF [10], several studies reporting HCC incidence in CHB patients using ETV and TDF monotherapy have been published. The purpose of our research is to compare the efficacy of TDF monotherapy with ETV monotherapy in reducing the incidence of HCC among CHB patients.

Method

Study selection

Two authors independently searched four databases including Pubmed, Embase, Cochrane Central Register of Controlled Trial, and ISI Web of Science following the PRISMA guidelines on August 2018. Search expressions were used as: (HBV OR hepatitis B) AND (ETV OR entecavir) AND (TDF OR tenofovir) AND (HCC OR hepatocellular carcinoma). The search details were shown in Additional file 1. Abstracts of the meeting were included and only English studies were included. Duplicated information because of overlapping patients would be excluded. In addition, we also performed a manual search of the references from the identified articles.

Inclusion and exclusion criteria

The inclusion criteria: (1) patient population – CHB patients; (2) treatment – ETV monotherapy versus TDF monotherapy; (3) study design – randomized controlled trials, retrospective or prospective studies; (4) outcome – HCC as determined by the American Association for the Study of Liver Diseases criteria [11]. (5) total sample size > 100 and available incidence of HCC.

The exclusion criteria: (1) studies that included Human Immunodeficiency Virus or HCV co-infected patients; (2) past or present HCC or liver transplantation; (3) no patient with HCC event in either TDF or ETV group at the end of the study; (4) case(s) report.

Data extraction

The required information was independently extracted and examined by two authors from eligible studies, including: (1) author and publication year; (2) design of study; (3) sample size; (4) basic patient information; (5) follow-up time; (6) outcomes (HCC incidence or hazard ratio (HR), death or transplantation incidence or HR, encephalopathy incidence and variceal bleeding incidence). To minimize random and bias errors in analyzing the trials, these data were extracted from the methodology sections using Cochrane methods.

Quality assessment

The Newcastle–Ottawa Scale (The Newcastle–Ottawa Scale for assessing the quality of non-randomized studies in meta-analyses. Ottawa, Canada: Department of Epidemiology and Community Medicine, University of Ottawa.) was used to evaluated study quality [9].

Data analysis

Review Manager software (RevMan 5.3; Cochrane Collaboration) was used for this meta-analysis. P < 0.05 was considered statistically significant. Data on HCC incidence, death or transplantation incidence were pooled and reported in form of events per 100 patient years of follow-up. Incidence rate ratios (IRR) and 95% confidence interval (95% CI) were pooled or calculated by method reported in previous articles [12, 13]. Rate ratios which combined IRR and HR were reported for HCC incidence and death or transplantation incidence while risk ratios (RR) with 95% CI were reported for encephalopathy incidence and variceal bleeding incidence. The heterogeneity of studies was assessed by a chi-square test and I2 statistics, while I2 > 50% was considered to be significantly heterogeneous. According to the differences of results and I2 of two methods, random effect method or fixed effect method was chose to combine the results of studies. Subgroup analysis and sensitivity analysis should be performed when heterogeneity was detected if necessary.

Results

Study selection

We initially collected 1030 articles. As showed in Fig. 1, 209 were collected for further evaluation after excluding 821 abstracts according to the title. Among them, we screened and excluded 191 studies due to: HCC cohort (n = 37), do not report HCC incidence (n = 78) and data combining ETV and TDF together (n = 75), by reading title, abstract or full text. In the remaining 15 unduplicated studies, a careful full text review was performed and 6 were excluded according to inclusion and exclusion criteria while two were excluded due to not providing data of event per 100 patient-year or lacking exact follow-up time causing unable to calculate IRR. Unfortunately, no RCT or real-world study was found in remaining studies. Finally, seven retrospective cohort studies with 3698 patients were included in analysis group [14,15,16,17,18,19,20]. It was worth mentioning that one out of seven study came from a conference abstract with a large cohort and propensity score matching [16], and our group reached the consensus to include it in this review since it provided enough information and reasonable methodology.

Fig. 1
figure 1

Flow diagram for the selection of studies

Study characteristics

The studies included in the meta-analysis were summarized in Table 1. A total of 3698 CHB patients, 1574 in TDF group and 2124 in ETV group, had TDF or ETV monotherapy and the exact follow-up time for HCC occurrence in each study was shown in Table 1. All of the studies were male-dominated, and most patients were 40–60 years old with cirrhosis and detectable HBVDNA. Four of seven studies included only NAs therapy-naive CHB patients,while the rest also included non-naive. All the studies had comparable baseline data between two groups, as shown in Table 1, except patients in ETV group were older than TDF group in two studies. Besides, there was a significant difference on follow-up time between TDF and ETV group. Therefore, we used IRR instead of RR to compare the differences on HCC incidence and death or transplantation incidence.

Table 1 The baseline characteristics of each study

Quality assessment

Newcastle–Ottawa scale (NOS) was used to evaluate the quality of retrospective cohort studies, and the high quality was admitted when a NOS score > 6. The quality assessment results of seven studies were shown in Table 2. Six studies were considered as high quality but the NOS score of the only conference abstract was unclear because of lacking detail information, however it performed a propensity score matching with large cohort and comparable patient baseline data. We conjectured the NOS score was high enough to include it in this review. Besides, an updated quality assessment table (Additional file 2) subsequently proved our conjecture.

Table 2 The quality assessment according to the Newcastle–Ottawa quality assessment scale (NOS) of each study

Meta-analysis results

Incidence of HCC

The result of HCC incidence between TDF and ETV groups was shown in Fig. 2a. In the final result, the HCC incidence was significant lower in TDF group than ETV group [rate ratio (95% CI) of 0.66 (0.49, 0.89), P = 0.008], though only one study reported a significant benefit in TDF group comparing to ETV group. A chi-square test and I2 statistics showed homogeneous data extracted from the seven studies [Chi2 = 3.22, degrees of freedom (df) = 6 (P = 0.78); I2 = 0%] and fixed effect model was used. A funnel plot analysis of publication bias was shown in Additional file 3. In order to avoid influence of age difference in incidence of HCC, we also performed a subgroup analysis excluding the two studies with significant difference of age and the result was shown in Fig. 2b. The HCC incidence was still significant lower in TDF group [rate ratio (95% CI) of 0.60 (0.43, 0.84), P = 0.003] with homogeneous pooled data.

Fig. 2
figure 2

a Forest plot of incidence of HCC between TDF group and ETV group. b Forest plot of incidence of HCC between TDF group and ETV group excluding two studies with significant different age. c. Forest plot of incidence of death or transplantation between TDF group and ETV group

Incidence of death or transplantation

Five studies reported incidence of death or transplantation, however there was no event in TDF group of one study [17] and in ETV group of another study [19]. Eventually three studies were included in the analysis and the results were shown in Fig. 2c. As the figure showed, there was no statistically significant difference between TDF and ETV groups using fixed effect model [rate ratio (95% CI) of 0.78 (0.55, 1.13), P = 0.19] without significant between-study heterogeneity [Chi2 = 0.30, df = 2 (P = 0.86); I2 = 0%].

Incidence of encephalopathy

Three studies that reported incidence of encephalopathy were included in this part of analysis with 852 patients, including 404 were tenofovir treated and 448 entecavir treated (Fig. 3a). According to the Chi2 and I2 analyses, no heterogeneity was detected between the 3 studies [Chi2 = 3.94, df = 2 (P = 0.14); I2 = 49%]. A fixed effect model was selected analyzing the data. And the difference in the incidence of encephalopathy between two drugs was insignificant [RR (95% CI) of 0.72 (0.45, 1.13), P = 0.15].

Fig. 3
figure 3

a Forest plot of incidence of encephalopathy between TDF group and ETV group. b Forest plot of incidence of variceal bleeding between TDF group and ETV group

Incidence of variceal bleeding

Three studies that reported incidence of variceal bleeding were included in this part of analysis containing 404 treated with tenofovir and 448 treated with entecavir (Fig. 3b). There was no heterogeneity observed between 3 studies according to the Chi2 and I2 analyses [Chi2 = 1.08, df = 2 (P = 0.58); I2 = 0%]. A fixed effect model was used to analyze the data because of homogeneity and the difference in the number of patients that occurred event between two group was statistically insignificant [RR (95% CI) of 0.71 (0.34, 1.50), P = 0.37].

Discussion

In this systematic review, seven retrospective cohort studies with 3698 patients fulfill our criteria. The current meta analysis demonstrated TDF monotherapy reduced the incidence of HCC comparing to ETV monotherapy in CHB patients with no significant differences in the incidence of death or transplantation, encephalopathy or variceal bleeding, which indicates that TDF monotherapy may be superior to ETV monotherapy in treating CHB patients.

The use of NAs, including lamivudine, telbivudine, adefovir, TDF and ETV, has been proved to be beneficial in preventing progression to cirrhosis and delaying the development of HCC in CHB patients by many research [21,22,23,24]. Meta analyses performed by Sun in 2014 [25] and Yuan in 2016 [26] both demonstrated antiviral therapy with NAs had potential benefits in reducing the recurrence rate and improving the overall survival (OS) and disease-free survival (DFS) of patients with HBV-related HCC after curative therapy. Furthermore, according to a meta analysis performed by A.K.Singal et al. in 2013 with 49 studies [26], NAs treatment significantly reduced the incidence of HCC compared with no treatment. However, the comparison of effectiveness between TDF and ETV is still little known, although it is widely accepted that these two drugs are superior to others and treated as first-line NAs drugs. In recent years, several studies have focused on comparing effectiveness of the two drugs. SR Zuo et al. performed a meta analysis comparing the efficacy of ETV and TDF with short time follow-up for the treatment of chronic hepatitis B infection [9]. Including 11 studies with 1656 patients, the results showed TDF was better able to suppress HBV viral load and had a similar safety profile as ETV. For HCC incidence, besides the studies included in the analysis, a retrospective cohort study with 346 patients by Li et al. [27], which was excluded due to lacking necessary information, showed no significant difference between TDF group and ETV group. With the same reason for excluding, a retrospective cohort study by Song et al. [28] showed higher HCC incidence in ETV than TDF arm, which is identical with our meta analysis result.

For the lower incidence of HCC in TDF group, there are several reasons that could probably explain the differences. First, recent study reveals that nucleutide analogues, rather than nucleoside analogues, provide additional effect to induce expression of interferon-λ3 [29] which will induce IFN-stimulated genes and inhibit hepatitis B surface antigen (HBsAg) production in hepatoma cells. Furthermore, interferon-λ3 has been demonstrated to be involved in modulation of immunity during virus infection or autoimmune diseases [30]. Second, TDF is related to a higher virological response rate and a lower rate of resistance comparing to ETV [31]. The uncontrolled viral status could lead to a higher risk of HCC occurrence. Lastly, the bias of the present study can not be neglected even we strictly followed the principle of PRISMA guidelines. So more studies are still needed to update this analysis. Overall, the mechanism still requires further clinical evidences.

Ascites, variceal bleeding, spontaneous bacterial peritonitis, hepatic encephalopathy and hepatorenal syndrome represent decompensation landmarks in the natural history of a cirrhotic patient, and the reported yearly rate of decompensation is 2–5% [32]. In the meantime, NAs agents are effective in restoring liver function, preventing and reversing liver decompensation, improving survival in CHB patients without significant side effects [33]. At the present study, no significant difference was found in incidence of death or transplantation, encephalopathy or variceal bleeding, and relatively few included studies (three studies) reported these data. We consider the results can be unstable with a small quantity of data. Besides, Song reported higher mortality in TDF-treated patients than ETV-treated patients [28], which is different from our result. More studies should be performed aiming at these issues. In addition, analysis of renal impairment was not performed in our study because only two of the included studies provided enough data. Nephrotoxicity with tenofovir has been demonstrated, including increases in serum creatinine and blood urea nitrogen, decrease in serum phosphate, glycosuria, proteinuria and phosphaturia in vivo experiment [34, 35]. However, real-world studies [36,37,38,39] and two of included studies [15, 17] showed controversial results. So future studies should determine the issue.

As far as we concerned, this is the first study comparing the incidence of HCC between TDF monotherapy and ETV monotherapy in CHB patients. Comparatively convincing data on all published studies are included in this study, which ensures reliable results and controls publication bias. Meanwhile, this study inspiringly show that TDF monotherapy reduces the incidence of HCC comparing to ETV monotherapy in chronic HBV patients which indicates TDF instead of ETV may be a better choice to treat CHB patients for lower incidence of HCC, thus provides relatively strong evidences for better clinical use of antiviral drugs.

There are several limitation in our meta analysis. (1) Only retrospective cohort studies met our inclusion and exclusion criteria, which mean no prospective study or RCT was included in our analysis. (2) There was still a need of large-scale studies. (3) We did not distinguish the genotype of HBV and baseline HBVDNA because of lacking adequate studies, which might result in unavoidable bias. (4) The follow-up time in TDF group was shorter than in ETV group in most of included studies, which could prevent from detecting more occurrence of HCC. Although we used event per 100 patient-year and IRR to diminish the affection to result, the bias was still unavoidable. In the mean time, longer follow-up time was needed to provide more accurate HCC incidence data. (5) Most of included studies were the result of Asian CHB cohort, which might cause bias while considering all races. An update meta-analysis should be performed in future using more comprehensive data. (6) ETV group was older than TDF group in two included studies. Although we performed a subgroup analysis to avoid bias, it still existed in some extent because the patients with older age were more likely to have HCC especially if infected at birth or early in life. (7) Different indications were applied in the included studies, making it impossible to figure out which kind of patients could benefit more from TDF therapy. (8) Some data whose exact values were unable to obtain when processing because of lacking original data.

Conclusion

In summary, despite these limitation listed above, our study still demonstrates better effect of TDF in reducing HCC incidence than ETV, which indicates TDF to be a better choice while treating CHB patients. However, RCT and large prospective cohort study should be performed before applying.

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its supplementary information files].

Abbreviations

CHB:

Chronic hepatitis B

DFS:

Disease-free survival

ETV:

Enticavir

HBeAg:

Hepatitis B e antigen

HBsAg:

Hepatitis B surface antigen

HBV:

Hepatitis B virus

HCC:

Hepatocellular carcinoma

HR:

Hazard ratio

IRR:

Incidence rate ratios

NAs:

Nucleos(t) ide analogues

NOS:

Newcastle–Ottawa scal

OS:

Overall survival

PRISMA:

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses

RR:

Risk ratios

TDF:

Tenofovir disoproxil fumarate

References

  1. Asselah T, Marcellin P. Long-term results of treatment with nucleoside and nucleotide analogues (entecavir and tenofovir) for chronic hepatitis B. Clin Liver Dis. 2013;17(3):445–50 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/23905815. Accessed 11 May 2019.

    Article  Google Scholar 

  2. El-Serag HB. Epidemiology of viral hepatitis and hepatocellular carcinoma. Gastroenterology. 2012;142(6):1264–73 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/22537432. Accessed 11 May 2019.

    Article  Google Scholar 

  3. Srivastava M, Rungta S, Dixit VK, Shukla SK, Singh TB, Jain AK. Predictors of survival in hepatitis B virus related decompensated cirrhosis on tenofovir therapy: an Indian perspective. Antivir Res. 2013;100(2):300–5 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/24012998. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  4. Gomaa AI, Khan SA, Toledano MB, Waked I, Taylor-Robinson SD. Hepatocellular carcinoma: epidemiology, risk factors and pathogenesis. World J Gastroentero. 2008;14(27):4300–8 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/18666317. Accessed 11 May 2019.

    Article  Google Scholar 

  5. Llovet JM, Burroughs A, Bruix J. Hepatocellular carcinoma. Lancet. 2003;362(9399):1907–17 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/14667750. Accessed 11 May 2019.

    Article  Google Scholar 

  6. Lai LC, Yuen FM. Prevention of hepatitis B virus-related hepatocellular carcinoma with antiviral therapy. Hepatology. 2013;(1):399–408 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/22806323. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  7. Hosaka T, Suzuki F, Kobayashi M, et al. Long-term entecavir treatment reduces hepatocellular carcinoma incidence in patients with hepatitis B virus infection. Hepatology. 2013;58(1):98–107 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/23213040. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  8. Tang L, Covert E, Wilson E, Kottilil S. Chronic hepatitis B infection: a review. JAMA. 2018;319(17):1802–13 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/29715359. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  9. Zuo S, Zuo X, Wang C, et al. A meta-analysis comparing the efficacy of entecavir and tenofovir for the treatment of chronic hepatitis B infection. J Clin Pharmacol. 2015;55(3):288–97 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/25293471. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  10. Singal AK, Salameh H, Kuo YF, Fontana RJ. Meta-analysis: the impact of oral anti-viral agents on the incidence of hepatocellular carcinoma in chronic hepatitis B. Aliment Pharm Ther. 2013;38(2):98–106 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/23713520. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  11. Sherman M, Bruix J, Porayko M, Tran T. Screening for hepatocellular carcinoma: the rationale for the American Association for the Study of Liver Diseases recommendations. Hepatology. 2012;56(3):793–6 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/22689409. Accessed 11 May 2019.

    Article  Google Scholar 

  12. Cohen MS, Chen YQ, McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/21767103. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  13. Lannoy LH, Cortez-Escalante JJ, Evangelista MS, Romero GA. Tuberculosis incidence and risk factors among patients living with HIV/AIDS in public health service institutions in Brasilia, Federal District. Rev Soc Bras Med Trop. 2008;41(6):549–55 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/19142430. Accessed 11 May 2019.

    Article  Google Scholar 

  14. Köklü S, Tuna Y, Gülşen MT, et al. Long-term efficacy and safety of lamivudine, Entecavir, and Tenofovir for treatment of hepatitis B virus–related cirrhosis. Clin Gastroenterol H. 2013;11(1):88–94 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/23063679. Accessed 11 May 2019.

    Article  Google Scholar 

  15. Goyal SK, Dixit VK, Shukla SK, et al. Prolonged use of tenofovir and entecavir in hepatitis B virus-related cirrhosis. Indian J Gastroenterol. 2015;34(4):286–91 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/26243587. Accessed 11 May 2019.

    Article  Google Scholar 

  16. Choi J, Lim YS, Han S, et al. Hepatocellular carcinoma in patients with hepatitis B virus-related cirrhosis treated with entecavir vs tenofovir. Hepatology. 2017;(66):485A https://doi.org/10.1002/hep.29501. Accessed 11 May 2019.

  17. Tsai M, Chen C, Hu T, et al. Long-term outcomes of hepatitis B virus-related cirrhosis treated with nucleos(t) ide analogs. J Formos Med Assoc. 2017;116(7):512–21 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/27720344. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  18. Kim YM, Shin HP, Lee JI, et al. Real-world single-center experience with entecavir and tenofovir disoproxil fumarate in treatment-naive and experienced patients with chronic hepatitis B. Saudi J Gastroenterol. 2018;24(6):326–35 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/30004042. Accessed 11 May 2019.

    Article  Google Scholar 

  19. Kim BG, Park NH, Lee SB, et al. Mortality, liver transplantation and hepatic complications in patients with treatment-naïve chronic hepatitis B treated with entecavir vs tenofovir. J Viral Hepatitis. 2018;25(12):1565–75 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/29998592. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  20. Yu JH, Jin Y, Lee J, Lee D. Remaining hepatocellular carcinoma risk in chronic hepatitis B patients receiving entecavir/tenofovir in South Korea. Hepatol Res. 2018;48(11):862–71 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/29761604. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  21. Wu JC, Huang YH, Chau GY, et al. Risk factors for early and late recurrence in hepatitis B-related hepatocellular carcinoma. J Hepatol. 2009;51(5):890–7 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/19747749. Accessed 11 May 2019.

    Article  Google Scholar 

  22. Kubo S, Hirohashi K, Tanaka H, et al. Effect of viral status on recurrence after liver resection for patients with hepatitis B virus-related hepatocellular carcinoma. Cancer-Am Cancer Soc. 2000;88(5):1016–24 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/10699889. Accessed 11 May 2019.

    CAS  Google Scholar 

  23. Dienstag JL, Goldin RD, Heathcote EJ, et al. Histological outcome during long-term lamivudine therapy. Gastroenterology. 2003;124(1):105–17 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/12512035. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  24. Matsumoto A, Tanaka E, Rokuhara A, et al. Efficacy of lamivudine for preventing hepatocellular carcinoma in chronic hepatitis B: a multicenter retrospective study of 2795 patients. Hepatol Res. 2005;32(3):173–84 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/16024289. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  25. Sun P, Dong X, Cheng X, Hu Q, Zheng Q. Nucleot(s) ide analogues for hepatitis B virus-related hepatocellular carcinoma after curative treatment: a systematic review and meta-analysis. PLoS One. 2014;9(7):e102761 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/25058587. Accessed 11 May 2019.

    Article  Google Scholar 

  26. Yuan P, Chen P, Qian Y. Evaluation of antiviral therapy performed after curative therapy in patients with HBV-related hepatocellular carcinoma: an updated Meta-analysis. Can J Gastroenterol. 2016;2016:5234969 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/27446846. Accessed 11 May 2019.

    Google Scholar 

  27. Li B, Chen GF, Shao Q, et al. Lack of hepatitis B surface antigen clearance with prolonged tenofovir disoproxil fumarate or entecavir for Chinese patients with HBEAG negative chronic hepatitis B infection. Hepatol Int. 2015;1(9):S42 https://doi.org/10.1007/s12072-015-9609-1. Accessed 11 May 2019.

    Google Scholar 

  28. Song IH, Cho BW, Kim SB. Entecavir and tenofovir disoproxil fumarate in nucleos(t)ide-naive patients with chronic hepatitis B: long-term outcomes and safety in the real-world setting. Hepatol Int. 2018;2(12):S334–5 https://doi.org/10.1007/s12072-018-9852-3. Accessed 11 May 2019.

    Google Scholar 

  29. Murata K, Asano M, Matsumoto A, et al. Induction of IFN-λ3 as an additional effect of nucleotide, not nucleoside, analogues: a new potential target for HBV infection. Gut. 2016;67(2):362–71 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/27789659. Accessed 11 May 2019.

    Article  Google Scholar 

  30. Syedbasha M, Egli A. Interferon lambda: modulating immunity in infectious diseases. Front Immunol. 2017;8:119 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/28293236. Accessed 11 May 2019.

    Article  Google Scholar 

  31. Janssen H, Chi H. Entecavir vs the Tenofovirs (TDF and TAF). J Viral Hepatitis. 2014;21(s2):12–3 https://doi.org/10.1111/jvh.12332_15. Accessed 11 May 2019.

    Google Scholar 

  32. Peng CY, Chien RN, Liaw YF. Hepatitis B virus-related decompensated liver cirrhosis: benefits of antiviral therapy. J Hepatol. 2012;57(2):442–50 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/22504333. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  33. Luvisa BK, Hassanein TI. Hepatitis B virus infection and liver decompensation. Clin Liver Dis. 2016;20(4):681–92 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/27742007. Accessed 11 May 2019.

    Article  Google Scholar 

  34. Genovesi EV, Lamb L, Medina I, et al. Efficacy of the carbocyclic 2′-deoxyguanosine nucleoside BMS-200475 in the woodchuck model of hepatitis B virus infection. Antimicrob Agents Chemother. 1998;42(12):3209–17 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/9835516. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  35. Standring DN, Bridges EG, Placidi L, et al. Antiviral beta-L-nucleosides specific for hepatitis B virus infection. Antivir Chem Chemother. 2001;12(Suppl 1):119–29 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/11594678. Accessed 11 May 2019.

    CAS  PubMed  Google Scholar 

  36. B DA, Kara B, Rd GM, L Y, Soylu A, Akin MS. Comparison of the efficacy of tenofovir and entecavir for the treatment of nucleos(t)ide-naive patients with chronic hepatitis B. Turk J Gastroenterol. 2012;23(3):247–52 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/22798114. Accessed 11 May 2019.

    Article  Google Scholar 

  37. Sriprayoon T, Mahidol C, Ungtrakul T, et al. Efficacy and safety of entecavir versus tenofovir treatment in chronic hepatitis B patients: a randomized controlled trial. Hepatol Res. 2017;47(3):E161–8 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/27176630. Accessed 11 May 2019.

    Article  CAS  Google Scholar 

  38. Ovunc AOK, Guzelbulut F, Senates E, et al. Comparison of the efficacy of Entecavir and Tenofovir in chronic hepatitis B patients with high viral load and/or high fibrosis scores at week 48 of therapy. Gastroenterology. 2011;140(5):930–1 https://doi.org/10.1016/S0016-5085(11)63860-2. Accessed 11 May 2019.

    Article  Google Scholar 

  39. Tsai MC, Chen CH, Tseng PL, et al. Comparison of renal safety and efficacy of telbivudine, entecavir and tenofovir treatment in chronic hepatitis B patients: real world experience. Clin Microbiol Infec. 2016;22(1):91–9 PubMed. https://www.ncbi.nlm.nih.gov/pubmed/26055419. Accessed 11 May 2019.

    Article  Google Scholar 

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Acknowledgements

Zeyu Zhang especially wishes to thank Chan Li, as a light that brings the dawn in his darkest time.

Funding

No funds were received in support of this work.

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Contributions

All authors made substantive intellectual contributions to this study to qualify as authors. ZYZ and YH conceived of the design of the study. ZYZ, YFZ, KH, JJY performed the study and collected the data. ZYZ, YFZ prepared the manuscript. ZYZ, KH, YH edited the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yun Huang.

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Additional files

Additional file 1:

Search details. The search details we used in PubMed and Embase. (DOC 12 kb)

Additional file 2:

Updated quality assessment table. The quality assessment according to the Newcastle–Ottawa quality assessment scale (NOS) of each study. (updated from newest published article of the Choi’s study in 2019) (DOCX 17 kb)

Additional file 3:

Funnel plot analysis of publication bias. Publication bias among studies involving in the outcome impact of TDF and ETV on the incidence of HCC. (DOC 17 kb)

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Zhang, Z., Zhou, Y., Yang, J. et al. The effectiveness of TDF versus ETV on incidence of HCC in CHB patients: a meta analysis. BMC Cancer 19, 511 (2019). https://doi.org/10.1186/s12885-019-5735-9

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